Milvus 3.0 把向量检索和结构化查询揉一起了，还支持直接查数据湖，玩 RAG 的可以看看。
Milvus 3.0 推出 lake-native External Collection，让向量可直接查询数据湖中的数据。新增 grouping、faceting、sorting、aggregation 等结构化查询能力，向量不再孤立存储。开发者可以让 Milvus 更贴近现有数据系统，但需要权衡召回率、延迟、过滤和成本。官方开放 Office Hours，提供 20 分钟一对一架构咨询。
𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬 𝗺𝗮𝗸𝗲𝘀 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗺𝗼𝗿𝗲 ...
𝗠𝗶𝗹𝘃𝘂𝘀 𝟯.𝟬 𝗺𝗮𝗸𝗲𝘀 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗺𝗼𝗿𝗲 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴. Vectors no longer live in isolation. With lake-native External Collection and structured queries like grouping, faceting, sorting, and aggregation, Milvus can sit closer to the data systems teams already use. That raises real questions: Where should embeddings live? How do you tune hybrid search? How do you balance recall, latency, filters, and cost? How do you debug retrieval when answers look plausible but context is wrong? 𝗕𝗿𝗶𝗻𝗴 𝘁𝗵𝗼𝘀𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗠𝗶𝗹𝘃𝘂𝘀 𝗢𝗳𝗳𝗶𝗰𝗲 𝗛𝗼𝘂𝗿𝘀. Book a 20-minute 1:1 session with Milvus experts for help on schema design, perform meetings.hubspot.com/milvus-office-… hooting, or Milvus 3.0 architecture decisions. 🙋🏻♀️ Join here: https://t.co/FwBKy9bIe1 💬 0 🔄 0 ❤️ 1 👀 40 ⚡